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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bsc-bio-ehr-es-finetuned-clinais |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bsc-bio-ehr-es-finetuned-clinais |
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This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3590 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 172 | 1.4431 | |
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| 1.4997 | 2.0 | 344 | 1.3971 | |
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| 1.4997 | 3.0 | 516 | 1.3738 | |
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| 1.3825 | 4.0 | 688 | 1.3468 | |
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| 1.3825 | 5.0 | 860 | 1.3844 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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